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The adaptive integrated data information system (AIDIS) for global water research

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Abstract

Global research programs related to river basin water resources have at least two things in common: (1) they assess and model hydrological process dynamics on a macro scale and (2) research partners jointly working on such research issues are internationally distributed in different institutions. These prerequisites require a sophisticated and scale bridging data assessment and information management comprising geo-referenced distributed data components, measured or simulated time series, and socio-economic information. Networking such international research structures by means of the internet pose new challenges to Geoinformatics in respect to the design of a Web based distributed database system, metadata and GIS-information management, geo-referenced data query and visualization. Such data management must include powerful and efficient data exchanging software tools and information sharing policies to ensure that decision making can jointly be done on the base of the best information available. Geoinformation includes raster and vector GIS coverages, measured process time series data and associated metadata. Furthermore there are needs to integrate multidisciplinary information and research knowledge related to IWRM comprising information obtained by remote sensing, GIS analysis, modeling, and socio-economic assessments for vulnerability and mitigation. Addressing these challenges and to cope with such data organization and management tasks the Adaptive Integrated Data Information System (AIDIS) has been developed by the DGHM at the FSU-Jena. It is based on open source software (OSS) and a multi tier class hierarchy structure. AIDIS has implemented the full ISO 19115 metadata model, and enhances its structure if required e.g. for time series or documents. A first prototype was developed for the Challenge Program ‘Water and Food’ (CPWF) of the CGIAR and has been improved and refined for the Tisza River basin within the ‘Tisza River’ EU-project comprising at present about one hundred GIS maps and more than 5000 measured and simulated time series.

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References

  1. Alcamo J, Henrichs T (2002) Critical regions: A model-based estimation of world water resources sensitive to global changes. Aquat Sci 64:352–362

    Article  Google Scholar 

  2. ANZLIC, Australia New Zealand Land Information Council (2000) Discussion and background papers. In: Proceedings of the ANZLIC clearinghouse workshop, 3–4 May, Adelaide, Australia, 2000

  3. Bartel A (2000) Analysis of landscape pattern: towards a ‘top down’ indicator for evaluation of landuse. Ecol Modell 130(1–3):87–94

    Article  Google Scholar 

  4. Bongartz K (2003) Applying different spatial distribution and modeling concepts in three nested meso-scale catchments of Germany. Phys Chem Earth 28:1343–1349

    Google Scholar 

  5. Constanza et al. (1997) The value of the world's ecosystem services and natural capital. Nature 387

  6. David O, Busch C, Küspert K, Flügel W-A (1997) Objektorientierte Datenbanken in der Hydrologie: Anwendungsbeispiel OMS. – In: Geiger W, Jaeschke A, Rentz O, Simon E, Spengler Th, Zillox L, Zundel T. (eds) Umweltinformatik'97, 11. Intern. Sympos. der Ges. für Informatik, GI, Bd. 1, Vol. 1:225–234

  7. EPA, Environment Protection Agency (2004) Index of Watershed Indicators: An Overview. – http://www.epa. gov/iwi/iwi-overview.pdf

  8. FGDC, Federal Geographic Data Committee (1997) Framework, introduction and guide. Book of federal geographic data committee, Washington

    Google Scholar 

  9. Fischer G, Shah M, van Velthuizen H (2002) Climate Change and Vulnerability. IIASA 152 p

  10. Flügel W-A (1996) Hydrological Response Units (HRUs) as modeling entities for hydrological river basin simulation and their methodological potential for modeling complex environmental process systems. DIE ERDE 127:42–62

    Google Scholar 

  11. Flügel W-A (1997) Combining GIS with regional hydrological modelling using Hydrological Response Units (HRUs) – An application from Germany. Math Comput Simulation 43:305–312 1997

    Article  Google Scholar 

  12. Flügel W-A (2000) Systembezogene Entwicklung regionaler hydrologischer Modellsysteme. Wasser and Boden, 52. Jg H 3:14–17

    Google Scholar 

  13. Flügel W-A, Märker M (2003) The response units concept and its application for the assessment of hydrologically related erosion processes in semiarid catchments of Southern Africa, ASTM-STP 1420:163–177

    Google Scholar 

  14. Flügel W-A, Rijsberman F (2003) The challenge program water and food for river basin scale water resources assessment. Proc MODSIM'03 1:434–439 2003

    Google Scholar 

  15. GWP-TAC, Global Water Partnership – Technical Advisory Committee (2000) Integrated Water Resources Management, TAC Background Paper No. 4, 67 p

  16. Heathcote IW (1998) Integrated watershed management. John Wiley and Sons, New York, 414 p

    Google Scholar 

  17. International Organization for Standardization ISO 19115, (2003)(E) Geographic information – metadata. 1st edition, Geneva, Switzerland

  18. IPCC (1997a) The regional impacts of climate change: An assessment of vulnerability, In: Robert T, Watson RT, Zinyowera MC, Richard H, Moss RH, David J, Dokken D-J (eds) Special report of IPCC working Group II, (http://www.ipcc.ch/pub/regional(E).pdf)

  19. IPCC (1997b) An introduction to simple climate models used in the IPCC second assessment report. In: Houghton JT, Gylvan Meira Filho L, Griggs DJ, Maskell K (eds) Technical Paper for IPCC WGI,http://www.ipcc.ch/pub/IPCCTP.III(D).pdf

  20. IPCC (2001a) Climate Change (2001) The scientific basis. Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. In: Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJX Dai Maskell K, Johnson CA (eds) Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 881 p (http://www.grida.no/climate/ipcc_tar/wgr1/index.htm)

  21. IPCC (2001b) Climate change 2001: Impacts, adaption and vulnerability. Contribution of working group II to the third assessment report of the intergovernmental panel on climate change. In: McCarthy JJ, Canziani OF, Leary NA, Dokken DJ, White KS (eds) Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 881 p (http://www.grida.no/climate/ipcc_tar/wg2/index.htm)

  22. IUCN (2000) Vision for Water and Nature. IUCN – The World Conservation Union, Report 2000

  23. Jain SK, Singh VP (2003) Water resources system planning and management. Elsevier, Amsterdam, 858 p

    Google Scholar 

  24. Krause P (2001) Das hydrologische Modellsystem J2000, Schriften FZ-Jülich, Bd. 29

  25. Leavesley GH, Lichty RW, Troutman BM, Saindon LG (1983) Precipitation Runoff Modelling System: User's manual, Water Resources Investigations 83-4238, USGS, Denver, Colorado

  26. Pahl-Wostl C (2002) Towards sustainability in the water sector – The importance of human actors and processes of social learning. Aquat Sci 64:394–411

    Article  Google Scholar 

  27. PCGIAP, Permanent Committee on GIS Infrastructure for Asia & the Pacific (1998) A spatial data infrastructure for the Asian and Pacific region. PCGIAP Publication, No 1, Canberra

  28. Pykh YA, Kennedy ET, Grant WE An overview of systems analysis methods in delineating environmental quality indices. Ecol Modell 130(1–3):25–38

  29. Querner EP (2002) Analysis of basin response resulting from climate change and mitigation measures. In: Van Lanen HAJ, Demuth S (eds) Regional hydrology: bridging the gap between research and practice. IAHS Publication no. 274:77–84

  30. Schmullius C, Flügel W-A, Frotscher K, Hochschild V, Müschen B (2000) The Shuttle Radar Topography Mission (SRTM) and Applications in Europe, Africa and Siberia, PFG, Jg 5, H 5:361–366

    Google Scholar 

  31. Schultink G (2000) Critical environmental indicators: performance indices and assessment models for sustainable rural development planning. Ecol Modell 130(1–3):47–58

    Article  Google Scholar 

  32. Staudenrausch H, Flügel W-A (2001) Development of an integrated water resources management system in southern african catchments. Phys Chem Earth (B) 26(7–8):561–564

    Google Scholar 

  33. Stolz R, Mauser W (1996) A fuzzy approach for improving land cover classifications by integrating remote sensing and GIS data. In: Parlow E (eds) Progress in environmental remote sensing research and applications, Rotterdam, pp 33–43

  34. Turner MG (1989) Landscape ecology – the effect of pattern on process. Ann Rev Ecol Syst 20:171–197

    Article  Google Scholar 

  35. UNRCC-AP (1997) Resolutions of the 14th United Nations regional cartographic conference for Asia and the Pacific, 3–4 February, Bangkok

  36. UNRCC-Americas (2001) In: Proceedings of the United Nations regional cartographic conference for Americas, January, USA

  37. Worsley JC, Drake D (2002) Practical PostgreSQL, O'Reilly and Associates

  38. Young PC, Romanowicz RJ (2004) PUB and data-based mechanistic modelling: the importance of parsimonious continuous-time models. In: Proceedings of iEMSs – Complexity and Integrated Resources Management, Osnabrück, 14–17. Juni 2004

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Correspondence to Wolfgang-Albert Flügel.

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Flügel, WA. The adaptive integrated data information system (AIDIS) for global water research. Water Resour Manage 21, 199–210 (2007). https://doi.org/10.1007/s11269-006-9049-8

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